Bayesian non-parametric Federated Learning Distributed computing Data quality Consent Federated learning Formal models Bi-level optimization Ontology Data analytics Dynamic programming Nash equilibria Apprentissage automatique Chaînes de Markov Edge computing Security Complexité Distributed systems Centre de données Data science Apprentissage par renforcement Secure distributed computing Algorithmique des graphes Evolutionary algorithms GDPR Peer-to-peer Data integration Air quality monitoring Deep learning Enumeration Informed consent Graph algorithms Artificial malicious patterns Secure aggregation Forme produit pour la distribution stationnaire Extraction de connaissances Personal Data Management System Data completeness Electrical network flow Energy consumption Sécurité TEE COVID-19 Healthcare Flash memory Air quality Machine learning algorithms Distributed queries Data center Game theory Algorithmique Computational intelligence Machine learning Algorithmic game theory Personal Cloud FOS Computer and information sciences Algorithmique de graphes IoT Optimization Data privacy Context acquisition Big Data Crowd computing Artificial intelligence Consommation énergétique et performances Linegraph Clustering Privacy Detection rules generation Graph Graph theory Database Trusted Execution Environment Cloud personnel Gamma dose rate Optimisation OppNet Resiliency Access Control Data minimization Energy/Power consumption Données RDF Multivariate Time Series Big data Data security Radiation Activity recognition Performance evaluation Contrôle d'accès Complexity 5G Computational complexity Android malware detection Co-clustering Data Privacy Graphes Reliability Early warning system Access control Anomaly detection